Evidence map›Paper›PMID 38981340›Full record

ArticleUltrasonics sonochemistry2024

Ultrasonic-assisted preparation of SBS modified asphalt: Cavitation bubble numerical simulation and rheological properties.

Ruien Yu, Gang Fu, Xiaohan Li, Xuanye Xi, Xiaowen Chen, Leilei Chen, Xiaoyan Zhang, Xijing Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasonics sonochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ruien YuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China; Shanxi Transportation Technology Research & Development Co., Ltd, Taiyuan 030032, China. Electronic address: yuruien@nuc.edu.cn.
Gang FuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China.
Xiaohan LiShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China.
Xuanye XiShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China.
Xiaowen ChenState Key Laboratory of Special Functional Waterproof Materials, Beijing Oriental Yuhong Waterproof Technology Co., Ltd, Beijing 101100, China.
Leilei ChenKey Laboratory of Safety and Risk Management on Transport Infrastructures (Nanjing), Ministry of Transport, Southeast University, Nanjing 211189, China.
Xiaoyan ZhangShanxi Transportation Technology Research & Development Co., Ltd, Taiyuan 030032, China.
Xijing ZhuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan 030051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SBS (styrene-butadiene-styrene block copolymer) is currently the most widely used asphalt modifier, and SBS modified asphalt is usually prepared by high-speed shearing. This paper combines the cavitation effect of ultrasonic to assist in the preparation of SBS modified asphalt, and conducts numerical simulation and rheological properties research on the cavitation bubbles in the molten SBS modified asphalt fluid. The cavitation bubbles in the modified asphalt fluid will expand and contract as the pressure changes inside and outside the bubbles. When the cavitation bubble is compressed to the minimum and the pressure inside the bubble reaches 1.94 × 10

Indexed as

Modified asphaltNumerical simulationRheological propertiesUltrasonic cavitation

Identifiers

PMID38981340
PMCPMC11280085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.